基于时频域的地面动目标二维检测算法

2D detection algorithm of ground moving targets based on time-frequency domain

针对地面动目标检测中强地杂波导致的匀速、匀加速直线运动目标检测概率降低的问题,提出了在时频域对目标信号能量进行积累以提高信噪比,从而提高地面动目标检测概率的算法。该方法首先将回波信号下变频至零中频,而后基于目标的运动特性,利用短时傅里叶变换将回波变换至时频域进行能量积累提高信噪比,最后在时频域进行二维检测,提高了动目标的检测概率。仿真实验验证了算法的有效性。

The strong ground clutter leads to the low detection probability of moving targets when the targets move with mean velocity or mean acceleration velocity. To absolve this problem, the signal-to- noise ratio is improved in time-frequency domain is put forward to enhance the detection probability. The echo is down-converted to zero mid-frequency firstly. Then, based on the movement characteristic of target, the STFT method is used to transform the echo to time-frequency domain to enhance SNR. And the targets are detected in time-frequency domain. The simulation experiment validates the efficiency of algorithm.